A Robust Camera-based Method for Breath Rate Measurement

• URL: http://arxiv.org/abs/2512.03827v1
• Date: Wed, 03 Dec 2025 14:19:21 GMT
• Title: A Robust Camera-based Method for Breath Rate Measurement
• Authors: Alexey Protopopov,
• Abstract summary: The present study proposes a more robust method to measure breath rate in humans with minimal hardware requirements.<n>The method was tested on videos taken from 14 volunteers with a total duration of over 2 hours 30 minutes.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Proliferation of cheap and accessible cameras makes it possible to measure a subject's breath rate from video footage alone. Recent works on this topic have proposed a variety of approaches for accurately measuring human breath rate, however they are either tested in near-ideal conditions, or produce results that are not sufficiently accurate. The present study proposes a more robust method to measure breath rate in humans with minimal hardware requirements using a combination of mathematical transforms with a relative deviation from the ground truth of less than 5%. The method was tested on videos taken from 14 volunteers with a total duration of over 2 hours 30 minutes. The obtained results were compared to reference data and the average mean absolute error was found to be at 0.57 respirations per minute, which is noticeably better than the results from previous works. The breath rate measurement method proposed in the present article is more resistant to distortions caused by subject movement and thus allows one to remotely measure the subject's breath rate without any significant limitations on the subject's behavior.

Related papers

• Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification [75.09791002021947]
  Existing purification methods aim to disrupt adversarial perturbations by introducing a certain amount of noise through a forward diffusion process, followed by a reverse process to recover clean examples.<n>This approach is fundamentally flawed as the uniform operation of the forward process compromises normal pixels while attempting to combat adversarial perturbations.<n>We propose a heterogeneous purification strategy grounded in the interpretability of neural networks.<n>Our method decisively applies higher-intensity noise to specific pixels that the target model focuses on while the remaining pixels are subjected to only low-intensity noise.
  arXiv  Detail & Related papers  (2025-03-03T11:00:25Z)
• A Robust Remote Photoplethysmography Method [0.0]
  The study proposes a more robust method that is less susceptible to distortions and has minimal hardware requirements.<n>The method was tested on 26 videos taken from 19 volunteers of varying gender and age.<n>The obtained results were compared to reference data and the average mean absolute error was found to be at 1.95 beats per minute.
  arXiv  Detail & Related papers  (2025-02-04T11:10:34Z)
• Non-Contact Breathing Rate Detection Using Optical Flow [0.0]
  Breathing rate is a vital health metric that is an invaluable indicator of the overall health of a person. This paper presents an investigation into a method of non-contact breathing rate detection using a motion detection algorithm, optical flow.
  arXiv  Detail & Related papers  (2023-11-13T10:26:18Z)
• Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks [47.187609203210705]
  We aim to develop and validate an automated computational framework for patient-specific deposition modelling. An image processing approach is proposed that could produce 3D patient respiratory geometries from 2D chest X-rays and 3D CT images.
  arXiv  Detail & Related papers  (2023-03-02T07:47:07Z)
• Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics [0.0]
  Air pollution is among the five highest risk factors for global health. Personalised exposure-response relationship between PM2.5 exposure and respiratory rate has been demonstrated for short-term effects in asthmatic adolescents.
  arXiv  Detail & Related papers  (2023-01-16T08:11:11Z)
• Minute ventilation measurement using Plethysmographic Imaging and lighting parameters [8.739176372427842]
  Breathing disorders such as sleep apnea is a critical disorder that affects a large number of individuals due to the insufficient capacity of the lungs to contain/exchange oxygen and carbon dioxide to ensure that the body is in the stable state of homeostasis. Respiratory Measurements such as minute ventilation can be used in correlation with other physiological measurements such as heart rate and heart rate variability for remote monitoring of health and detecting symptoms of such breathing related disorders.
  arXiv  Detail & Related papers  (2022-08-29T00:42:48Z)
• Direct Dense Pose Estimation [138.56533828316833]
  Dense human pose estimation is the problem of learning dense correspondences between RGB images and the surfaces of human bodies. Prior dense pose estimation methods are all based on Mask R-CNN framework and operate in a top-down manner of first attempting to identify a bounding box for each person. We propose a novel alternative method for solving the dense pose estimation problem, called Direct Dense Pose (DDP)
  arXiv  Detail & Related papers  (2022-04-04T06:14:38Z)
• MBA-VO: Motion Blur Aware Visual Odometry [99.56896875807635]
  Motion blur is one of the major challenges remaining for visual odometry methods. In low-light conditions where longer exposure times are necessary, motion blur can appear even for relatively slow camera motions. We present a novel hybrid visual odometry pipeline with direct approach that explicitly models and estimates the camera's local trajectory within the exposure time.
  arXiv  Detail & Related papers  (2021-03-25T09:02:56Z)
• Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm [78.88882860340797]
  COVID-19 virus has caused a global pandemic since March 2020. Maintaining a minimum of one meter distance from other people is strongly suggested to reduce the risk of infection. There is no suitable test benchmark for such algorithms.
  arXiv  Detail & Related papers  (2021-03-11T16:15:20Z)
• Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score [59.75318183140857]
  Estimating causal effects from randomized experiments is central to clinical research. Most methods for historical borrowing achieve reductions in variance by sacrificing strict type-I error rate control.
  arXiv  Detail & Related papers  (2020-12-17T21:10:10Z)
• Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea [7.300192965401497]
  Non-contact monitoring of respiration can be achieved with near- and far-infrared spectrum cameras. We present a novel algorithm based on multispectral data fusion that aims at estimating respiratory rate (RR) during apnea. Our findings may represent a step towards the use of cameras for vital sign monitoring in medical applications.
  arXiv  Detail & Related papers  (2020-04-21T09:07:09Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.